PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-04-12 10:20:30.459833+00:00 (UTC)
In US/Central Time, this is 2024-04-12 05:20:30.459833-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/5533f5736852be81edfdba6bebe1b44331415bb2c0c9afe33d11edad7f6bfa6a.png
We are just generating a random time serie here.
../_images/19fdec068c0afb93357d9cf78271110420b937357c12b5adba4b25467fe68e93.png
../_images/b53fc2365577618846f215aaf87fbd30a5416a3a91f8a376dabcc062cad19ec7.png